Multi-energy system digital twin data flow modeling and compressing method
A compression method and data flow technology, applied in the field of data modeling, can solve problems such as high asymmetry, inaccurate information, and out-of-synchronization, and achieve the effects of improving monitoring level, efficient data acquisition, and realizing online simulation
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Embodiment 1
[0028] refer to Figure 1~3 , which is the first embodiment of the present invention, this embodiment provides a multi-energy system digital twin data flow modeling and compression method, including:
[0029] S1: Identify the multi-energy system topology and equipment parameters. It should be noted,
[0030] refer to figure 2, multi-energy system topology includes, multi-energy system topology is composed of power network, natural gas network, energy hub and thermal network, and the data of multi-energy system includes geographic information data of each device, map coordinates, latitude and longitude, connection relationship of each device, map Information and route direction;
[0031] Equipment parameters include, equipment parameters include transformers, transmission lines, loads and basic parameters of distributed power supply equipment.
[0032] S2: Obtain the data flow data of the multi-energy system, and establish different data flow models according to different ...
Embodiment 2
[0042] The second embodiment of this embodiment, this embodiment performs specific modeling and compression on the multi-energy system topology and basic equipment parameters.
[0043] (1) Multi-energy system topology
[0044] The multi-energy system takes the power system as the core, is based on the Internet and other information and communication technologies, and uses distributed renewable energy as the main primary energy source, and is closely coupled with other related systems such as thermal systems and natural gas networks. flow system.
[0045] Topological connection data include multi-energy system topology consisting of power network, natural gas network, energy hub and thermal network, in which the power network topology consists of substations, transmission lines, loads, capacitors, high-voltage knife switches, power cables, high-voltage grounding devices, low-voltage arresters, etc. components and distributed power sources such as wind power generation, photovo...
Embodiment 3
[0071] In the third embodiment of the present invention, in order to better verify and explain the technical effects adopted in the method of the present invention, a typical example of a multi-energy system is selected for testing in this embodiment, and the method is verified by means of scientific demonstration. have a real effect;
[0072] Using the system topology of the multi-energy system calculation example, there are 1 three-phase voltage source, 3 transformers, 36 distribution network transmission lines, and 12 loads in this topology, and the loads connected to buses 701 and 742 are distributed power sources. Example to establish data flow models of transformers, transmission lines, loads, etc., where the data structure of transformers is as follows:
[0073]
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[0075]
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[0077] The data structure of the transmission line is as follows:
[0078]
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[0080]
[0081]
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[0083] The data structure of the load is ...
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